variance: Compute the moments of a probability distribution

In distributions3: Probability Distributions as S3 Objects

Compute the moments of a probability distribution

Description

Generic functions for computing moments (variance, skewness, excess kurtosis) from probability distributions.

Usage

variance(x, ...)

skewness(x, ...)

kurtosis(x, ...)

Arguments

x	An object. The package provides methods for distribution objects such as those from Normal() or Binomial() etc.
...	Arguments passed to methods. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Details

The functions variance, skewness, and kurtosis are new generic functions for computing moments of probability distributions such as those provided in this package. Additionally, the probability distributions from distributions3 all have methods for the mean generic. Moreover, quantiles can be computed with methods for quantile. For examples illustrating the usage with probability distribution objects, see the manual pages of the respective distributions, e.g., Normal or Binomial etc.

Value

Numeric vector with the values of the moments.

See Also

mean, quantile, cdf, random

distributions3 documentation built on Sept. 30, 2024, 9:37 a.m.